Public service answering point call routing issue detection and resolution

Abstract

The described technology is generally directed towards public service answering point (PSAP) call routing issue detection and resolution. A PSAP call routing issue detection tool is disclosed. The PSAP call routing issue detection tool can be configured to identify PSAP call routing problems in a cellular network. The PSAP call routing issue detection tool can present the PSAP call routing problems for further analysis and correction by cellular network engineers. The PSAP call routing issue detection tool can furthermore identify and suggest call routing corrections to address identified PSAP call routing problems. The PSAP call routing issue detection tool can optionally also automatically correct identified PSAP call routing problems according to suggested call routing corrections.

What is claimed is: 
     
         1 . A method, comprising:
 detecting, by equipment comprising a processor, an anomaly in public service access point call routing data pertaining to a first public service access point and a first cell sector of a plurality of cell sectors of a cellular network;   generating, by the equipment and based on the detecting of the anomaly, analysis data;   providing, by the equipment and based on the generating, the analysis data to a user interface;   obtaining, by the equipment and based on the providing of the analysis data to the user interface, an input including an identification of a second public service access point to which emergency calls from the first cell sector are to be routed; and   generating, by the equipment and based on the obtaining, call routing reconfiguration data that reconfigures the cellular network to route emergency calls according to the input.   
     
     
         2 . The method of  claim 1 , further comprising:
 providing, by the equipment, a suggestion of the second public service access point to the user interface,   wherein the obtaining of the input is further based on the providing of the suggestion.   
     
     
         3 . The method of  claim 2 , wherein the suggestion is based on a use of machine learning. 
     
     
         4 . The method of  claim 1 , wherein the anomaly is based on load data representing a first call load at the first public service access point and a second call load at the second public service access point. 
     
     
         5 . The method of  claim 1 , wherein the anomaly is based on call re-routing data representing call re-routing of a user equipment call from the first public service access point to the second public service access point. 
     
     
         6 . The method of  claim 5 , wherein the anomaly is based on a first location of the first public service access point, a second location of the second public service access point, and a third location of user equipment associated with the user equipment call, and wherein a first distance from the first location to the third location is longer than a second distance from the second location to the third location. 
     
     
         7 . The method of  claim 5 , further comprising:
 reconfiguring, by the equipment, network equipment of the cellular network according to the call routing reconfiguration data, to thereby to route future public service access point calls that originate proximal to a location of user equipment associated with the user equipment call to the second public service access point.   
     
     
         8 . The method of  claim 1 , wherein the analysis data comprises a map view, and wherein the map view comprises:
 a map,   a first indication on the map of a first public service access point location associated with the first public service access point,   a second indication on the map of a second public service access point location associated with the second public service access point, and   a third indication on the map of a location of user equipment associated with the anomaly.   
     
     
         9 . The method of  claim 8 , wherein the map view further comprises a fourth indication on the map of a cell sector coverage region associated with a cell sector of the cellular network, and wherein the cell sector processed a user equipment call associated with the anomaly. 
     
     
         10 . The method of  claim 8 , wherein the map view further comprises:
 a fourth indication on the map of a first public service access point region associated with the first public service access point, and   a fifth indication on the map of a second public service access point region associated with the second public service access point.   
     
     
         11 . Network equipment, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising:   detecting an anomaly in public service access point call routing data pertaining to a first public service access point and a first cell sector of a plurality of cell sectors of a cellular network;   generating, based on the detecting of the anomaly, analysis data;   providing, based on the generating, the analysis data to a user interface;   obtaining, based on the providing of the analysis data to the user interface, an input including an identification of a second public service access point to which emergency calls from the first cell sector are to be routed; and   generating, based on the obtaining, call routing reconfiguration data that reconfigures the cellular network to route calls according to the input.   
     
     
         12 . The network equipment of  claim 11 , wherein the operations further comprise:
 providing a suggestion of the second public service access point to the user interface,   wherein the obtaining of the input is further based on the providing of the suggestion.   
     
     
         13 . The network equipment of  claim 12 , wherein the operations further comprise:
 using machine learning to generate the suggestion.   
     
     
         14 . The network equipment of  claim 11 , wherein the anomaly is based on load data representing a first call load at the first public service access point and a second call load at the second public service access point. 
     
     
         15 . The network equipment of  claim 11 , wherein the anomaly is based on call re-routing data representing call re-routing of a user equipment call from the first public service access point to the second public service access point. 
     
     
         16 . The network equipment of  claim 15 , wherein the anomaly is based on a first location of the first public service access point, a second location of the second public service access point, and a third location of user equipment associated with the user equipment call, and wherein a first distance from the first location to the third location is longer than a second distance from the second location to the third location. 
     
     
         17 . The network equipment of  claim 15 , further comprising:
 reconfiguring equipment of the cellular network according to the call routing reconfiguration data to route future public service access point calls that originate proximal to a location of user equipment associated with the user equipment call to the second public service access point.   
     
     
         18 . A non-transitory machine-readable medium, comprising executable instructions that, when
 detecting an anomaly in public service access point call routing data pertaining to a first public service access point and a first cell sector of a plurality of cell sectors of a cellular network;   providing, based on the detecting, analysis data to a user interface;   obtaining, based on the providing of the analysis data to the user interface, an input including an identification of a second public service access point to which emergency calls from the first cell sector are to be routed; and   generating, based on the obtaining, call routing reconfiguration data that reconfigures the cellular network to route emergency calls according to the input.   
     
     
         19 . The non-transitory machine-readable medium of  claim 18 , wherein the public service access point call routing data further comprises cell sector data representing coverage areas of cell sectors associated with respective user equipment calls, user equipment location data representing locations of user equipment associated with the respective user equipment calls, and public service access point load data representing call loads at respective public service access points, the respective public service access points including the first public service access point and the second public service access point. 
     
     
         20 . The non-transitory machine-readable medium of  claim 19 , wherein the detecting of the anomaly is based on:
 receiving public service access point boundary data comprising respective boundaries associated with the respective public service access points; and   receiving cell update data comprising respective regions associated with respective cell sectors of the plurality of cell sectors.